Explore MATLAB source code curated for "K_L变换" with clean implementations, documentation, and examples.
Implementation of face recognition using traditional Principal Component Analysis (PCA) method on Yale Face Database. PCA is a statistical approach based on Karhunen-Loève (K-L) transform, which represents an optimal orthogonal transformation widely used in data compression applications.
Advanced MATLAB program for extracting principal components using K-L transform in image processing applications, featuring efficient implementation for various image analysis tasks.
MATLAB code implementation of Karhunen-Loève (K-L) Transform with applications in image denoising and seismic data processing, featuring eigenvalue decomposition and covariance matrix analysis
MATLAB source code for K-L Transform (Eigenface) in face recognition applications, featuring PCA-based feature extraction and face recognition algorithm implementation
Face recognition code implementing the K-L transformation method for human face identification, including feature extraction and pattern matching algorithms